Research Output per year
Fingerprint Dive into the research topics where Guido Cervone is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
remote sensing
Earth & Environmental Sciences
Remote sensing
Engineering & Materials Science
earthquake
Earth & Environmental Sciences
latent heat flux
Earth & Environmental Sciences
Learning systems
Engineering & Materials Science
hurricane
Earth & Environmental Sciences
anomaly
Earth & Environmental Sciences
Evolutionary algorithms
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2000 2020
Using the analog ensemble method as a proxy measurement for wind power predictability
Shahriari, M., Cervone, G., Clemente-Harding, L. & Delle Monache, L., Feb 1 2020, In : Renewable Energy. 146, p. 789-801 13 p.Research output: Contribution to journal › Article
Wind power
Farms
Risk analysis
Electricity
Uncertainty
Analysis of remote sensing imagery for disaster assessment using deep learning: a case study of flooding event
Yang, L. & Cervone, G., Dec 1 2019, In : Soft Computing. 23, 24, p. 13393-13408 16 p.Research output: Contribution to journal › Article
Flooding
Disaster
Remote Sensing
Disasters
Learning systems
1
Citation
(Scopus)
Comparison of simulated radioactive atmospheric releases to citizen science observations for the Fukushima nuclear accident
Hultquist, C. & Cervone, G., Feb 1 2019, In : Atmospheric Environment. 198, p. 478-488 11 p.Research output: Contribution to journal › Article
nuclear accident
aerial survey
citizen
science
comparison
Dynamically Optimized Unstructured Grid (DOUG) for Analog Ensemble of numerical weather predictions using evolutionary algorithms
Hu, W. & Cervone, G., Dec 1 2019, In : Computers and Geosciences. 133, 104299.Research output: Contribution to journal › Article
Evolutionary algorithms
weather
prediction
Computational efficiency
wind velocity
Expanded dimensionality for image spectroscopy via machine learning
Salvador, M., Cervone, G. & Xu, F., Jan 1 2019, p. 148-152. 5 p.Research output: Contribution to conference › Paper
Radiance
radiance
Dimensionality
Spectroscopy
Machine Learning